no code implementations • 12 Feb 2023 • Guangyi Xiao, Xinlong Liu, Hao Chen, Jingzhi Guo, Zhiguo Gong
In this paper, we study the problem of legal domain adaptation problem from an imbalanced source domain to a partial target domain.
2 code implementations • 29 Oct 2021 • Ning Han, Jingjing Chen, Chuhao Shi, Yawen Zeng, Guangyi Xiao, Hao Chen
The task of text-video retrieval aims to understand the correspondence between language and vision, has gained increasing attention in recent years.
no code implementations • 11 Aug 2021 • Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong
We propose a new general Graph Adversarial Domain Adaptation (GADA) based on semantic knowledge reasoning of class structure for solving the problem of unsupervised domain adaptation (UDA) from the big data with non-shared and imbalanced classes to specified small and imbalanced applications (NI-UDA), where non-shared classes mean the label space out of the target domain.